What is Cactus? Cactus is a framework for developing portable, modular applications
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1 What is Cactus? Cactus is a framework for developing portable, modular applications
2 What is Cactus? Cactus is a framework for developing portable, modular applications focusing, although not exclusively, on high-performance simulation codes
3 What is Cactus? Cactus is a framework for developing portable, modular applications focusing, although not exclusively, on high-performance simulation codes designed to allow experts in different fields to develop modules based upon their experience and to use modules developed by experts in other fields with minimal knowledge of the internals or operation of the other modules
4 Cactus Goals Portable Different development machines Different production machines
5 Cactus Goals Portable Different development machines Different production machines Modular Standard interfaces for module interaction for easier code interaction, writing and debugging Interchangeable modules with same functionality
6 Cactus Goals Portable Different development machines Different production machines Modular Standard interfaces for module interaction for easier code interaction, writing and debugging Interchangeable modules with same functionality Easy to use Good documentation Try to let users program the way they are used to Support all major (HPC) programming languages
7 Philosophy Open code base to encourage community contributions
8 Philosophy Open code base to encourage community contributions Strict quality control for base framework
9 Philosophy Open code base to encourage community contributions Strict quality control for base framework Development always driven by real user requirements
10 Philosophy Open code base to encourage community contributions Strict quality control for base framework Development always driven by real user requirements Support and develop for a wide range of application domains
11 What is Cactus for? Assume: Computational problem Too large for single machine Distributed development Multiple programming languages
12 What is Cactus for? Assume: Computational problem Too large for single machine OpenMP MPI Distributed development Multiple programming languages
13 What is Cactus for? Assume: Computational problem Too large for single machine OpenMP MPI Distributed development Modularize Problem Versioning system(s) Multiple programming languages
14 What is Cactus for? Assume: Computational problem Too large for single machine OpenMP MPI Distributed development Modularize Problem Versioning system(s) Multiple programming languages Modularize Problem Interfaces for inter-language communication
15 What is Cactus for? Assume: Computational problem Too large for single machine OpenMP MPI Distributed development Modularize Problem Versioning system(s) Multiple programming languages Modularize Problem Interfaces for inter-language communication
16 Modularization Motivation Simulations are complex, may contain several models at once. Example: Long Gamma Ray Burst: General Relativity (black hole) Relativistic Hydrodynamics (star) Microphysics, equation of state (shock wave) Neutrino radiation (cooling, heating) Magnetic Fields (Jet formation) Photon radiation (afterglow)
17 Modularization Motivation Added Problems: Example: Einstein Toolkit (not untypical) Code 12+ years old Grad students leave after 3 productive years Most original authors not available anymore Developers distributed over many places in several continents Most physicists are not good programmers
18 Component Architecture Split program into independent components (as much as possible) Framework provides glue between these Components are developed independently by small groups End user assembles all code: no central control, no authorative version Framework itself does no real work Components don t interact directly with each other
19 Cactus History Direct descendant of many years of code development in Ed Seidel s group of researchers at NCSA 1995, Paul Walker, Joan Masso, Ed Seidel, and John Shalf: Cactus 1.0 Originally for numerical relativity Over the years generalized for use by scientists in other domains
20 Current Users and Developers
21 Covers
22 Cactus Funding Organizations: Max-Planck-Gesellschaft Center for Computation & Technology at LSU National Center for Supercomputing Applications Lawrence Berkeley National Laboratory Washington University University of Tübingen Grants: NSF (PHY , , , , , PIF , , ) Europ. Commission (HPRN-CT , IST ) DFN-Verein (TK 6-2-AN 200) DFG (TiKSL) ONR (COMI) DOE/BOR (OE DE-FG02-04ER46136, BOR DOE/LEQSF)
23 Cactus Awards IEEE SCALE09 Challenge Winner 2009 IEEE Sidney Fernback Award 2006 High-Performance Bandwidth Challenge SC2002 High-Performance Computing Challenge SC2002 Gordon Bell Prize for Supercomputing SC2001 HPC Most Stellar Challenge Award SC1998 Heinz Billing Prize for Scientific Computing 1998
24 The Flesh The flesh is the central component of Cactus. It interfaces with modular components called thorns. The flesh provides: Variables & Data Types Parameters Functions for: Parallelisation Input/Output Coordinates Reduction Interpolation Information Staggering Indexing Ghostzones
25 Thorns Some thorns provide additional functionality, while others serve as applications. Thorns are grouped into arrangements which supply some common functionality. Example thorns: CactusIO CactusIOJpeg CactusConnect HTTPD PUGH PUGH input and output operations JPEG image data compression and writing operations networking starts the HTTP daemon for remote connections unigrid driver + tools; reductions and interpolations unigrid driver handles grid scalars, arrays and functions
26 Application Toolkits The Einstein Toolkit is a collection of arrangements for computational relativity. The toolkit includes a vacuum spacetime solver (McLachlan), a relativistic hydrodynamics solver, along with thorns for initial data, analysis and computational infrastructure. The Cactus Computational Toolkit is a collection of arrangements that provides general computational infrastructure.
27 Typical list of component tasks Evolution systems Boundary conditions Initial conditions Time stepping method Finite Difference methods Simulation grid (distributed arrays) I/O (more on next slide) Simulation domain specification Termination condition Twitter client
28 I/O Capabilities Usual I/O and checkpointing in different formats: Screen output ASCII file output HDF5 file in-/output Online Jpeg rendering Online VisIt visualization
29 More Capabilities: Grids, Boundaries, Symmetries Grids Only structured meshes (at the moment) Unigrid (PUGH) Adaptive Mesh Refinement (Carpet) Boundaries / Symmetries Periodic Static Mirror symmetries Rotational symmetries Problemspecific boundaries
30 The Cactus Computational Toolkit Core modules (thorns) providing many basic utilities: I/O methods Boundary conditions Parallel unigrid driver Reduction and Interpolation operators Interface to external elliptic solvers Web-based interaction and monitoring interface Simple example thorns (wavetoy)
31 Many arrangements with many modules... CactusBase CactusBench CactusConnect CactusElliptic CactusExamples CactusExternal CactusIO CactusNumerical CactusPUGH CactusPUGHIO CactusTest CactusUtils CactusWave Basic utility and interface thorns Benchmark utility thorns Network utility thorns Elliptic solvers / interface thorns Example thorns External library interface thorns General I/O thorns General numerical methods Cactus Unigrid Driver thorn I/O thorns specifix for PUGH driver Thorns for Cactus testing Misc. utility thorns Wave example thorns
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